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Enhancing the Performance of Seq2seq by Data Warping

Author(s):

Shraddha Ganesh Pophale , Walchand College of Engineering, Sangli.; Mrs. Hetal Gandhi, Walchand College of Engineering, Sangli.; Mr. Anil Kumar Gupta, C- DAC, Pune.

Keywords:

Chatbot, Emotions, Emotion recognition, Seq2seq model, Machine Learning, Natural Processing Language, Recurrent Neural Network, Convolution Neural Network

Abstract

From the start of the 20th century, technology is advancing vastly. The suicide occurrence is levitation, taking an appropriate impression on our culture. Every year around 1,000,000 individuals kick the bucket as a result of self-destructive activities appealing a monetary, social, and human issue. On the other way, the utilization of Online Media as a method for the message is getting incredibly famous, finished with which their passionate states and pantomimes are traded over. Subsequently, it is no surprise that an ever-increasing number of individuals with wretchedness distribute their self-destruction notes in these correspondence systems. In this unique situation, Data Advances and Correspondences and, all the more explicitly, Language Innovations assume a significant job in the early location of the downturn, their causes, and their horrendous significances according to Sahni [1][16]. Because of these contemplations, it is mandatory to give cultural, biologically approaches, and answers for defying these cultural difficulties. This work professes to be an extensive review of not similar investigates in this degree, to depict which philosophies, innovations, and assets are utilized in the recognition of mental issues by methods for the Online Media examination just as to uncover their inadequacies.

Other Details

Paper ID: IJSRDV8I70230
Published in: Volume : 8, Issue : 7
Publication Date: 01/10/2020
Page(s): 368-372

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